pipeline_name: PP-StructureV3

batch_size: 8

use_doc_preprocessor: True
use_seal_recognition: True
use_table_recognition: True
use_formula_recognition: True
use_chart_recognition: True
use_region_detection: True

SubModules:
  LayoutDetection:
    module_name: layout_detection
    model_name: PP-DocLayout_plus-L
    model_dir: null
    batch_size: 8
    threshold: 
      0: 0.3  # paragraph_title
      1: 0.5  # image
      2: 0.4  # text
      3: 0.5  # number
      4: 0.5  # abstract
      5: 0.5  # content
      6: 0.5  # figure_table_chart_title
      7: 0.3  # formula
      8: 0.5  # table
      9: 0.5  # reference
      10: 0.5 # doc_title
      11: 0.5 # footnote
      12: 0.5 # header
      13: 0.5 # algorithm
      14: 0.5 # footer
      15: 0.45 # seal
      16: 0.5 # chart
      17: 0.5 # formula_number
      18: 0.5 # aside_text
      19: 0.5 # reference_content
    layout_nms: True
    layout_unclip_ratio: [1.0, 1.0] 
    layout_merge_bboxes_mode: 
      0: "large"  # paragraph_title
      1: "large"  # image
      2: "union"  # text
      3: "union"  # number
      4: "union"  # abstract
      5: "union"  # content
      6: "union"  # figure_table_chart_title
      7: "large"  # formula
      8: "union"  # table
      9: "union"  # reference
      10: "union" # doc_title
      11: "union" # footnote
      12: "union" # header
      13: "union" # algorithm
      14: "union" # footer
      15: "union" # seal
      16: "large" # chart
      17: "union" # formula_number
      18: "union" # aside_text
      19: "union" # reference_content
  ChartRecognition:
    module_name: chart_recognition
    model_name: PP-Chart2Table
    model_dir: null
    batch_size: 1 
  RegionDetection:
    module_name: layout_detection
    model_name: PP-DocBlockLayout
    model_dir: null
    layout_nms: True
    layout_merge_bboxes_mode: "small"

SubPipelines:
  DocPreprocessor:
    pipeline_name: doc_preprocessor
    batch_size: 8
    use_doc_orientation_classify: True
    use_doc_unwarping: True
    SubModules:
      DocOrientationClassify:
        module_name: doc_text_orientation
        model_name: PP-LCNet_x1_0_doc_ori
        model_dir: null
        batch_size: 8
      DocUnwarping:
        module_name: image_unwarping
        model_name: UVDoc
        model_dir: null

  GeneralOCR:
    pipeline_name: OCR
    batch_size: 8
    text_type: general
    use_doc_preprocessor: False
    use_textline_orientation: True
    SubModules:
      TextDetection:
        module_name: text_detection
        model_name: PP-OCRv5_server_det
        model_dir: null
        limit_side_len: 736
        limit_type: min
        max_side_limit: 4000
        thresh: 0.3
        box_thresh: 0.6
        unclip_ratio: 1.5
      TextLineOrientation:
        module_name: textline_orientation
        model_name: PP-LCNet_x1_0_textline_ori
        model_dir: null
        batch_size: 8
      TextRecognition:
        module_name: text_recognition
        model_name: PP-OCRv5_server_rec
        model_dir: null
        batch_size: 8
        score_thresh: 0.0
 

  TableRecognition:
    pipeline_name: table_recognition_v2
    use_layout_detection: False
    use_doc_preprocessor: False
    use_ocr_model: False
    SubModules:  
      TableClassification:
        module_name: table_classification
        model_name: PP-LCNet_x1_0_table_cls
        model_dir: null

      WiredTableStructureRecognition:
        module_name: table_structure_recognition
        model_name: SLANeXt_wired
        model_dir: null
      
      WirelessTableStructureRecognition:
        module_name: table_structure_recognition
        model_name: SLANet_plus
        model_dir: null
      
      WiredTableCellsDetection:
        module_name: table_cells_detection
        model_name: RT-DETR-L_wired_table_cell_det
        model_dir: null
      
      WirelessTableCellsDetection:
        module_name: table_cells_detection
        model_name: RT-DETR-L_wireless_table_cell_det
        model_dir: null

      TableOrientationClassify:
        module_name: doc_text_orientation
        model_name: PP-LCNet_x1_0_doc_ori
        model_dir: null
    SubPipelines:
      GeneralOCR:
        pipeline_name: OCR
        text_type: general
        use_doc_preprocessor: False
        use_textline_orientation: True
        SubModules:
          TextDetection:
            module_name: text_detection
            model_name: PP-OCRv5_server_det
            model_dir: null
            limit_side_len: 736
            limit_type: min
            max_side_limit: 4000
            thresh: 0.3
            box_thresh: 0.4
            unclip_ratio: 1.5
          TextLineOrientation:
            module_name: textline_orientation
            model_name: PP-LCNet_x1_0_textline_ori
            model_dir: null
            batch_size: 8
          TextRecognition:
            module_name: text_recognition
            model_name: PP-OCRv5_server_rec
            model_dir: null
            batch_size: 8
        score_thresh: 0.0

  SealRecognition:
    pipeline_name: seal_recognition
    batch_size: 8
    use_layout_detection: False
    use_doc_preprocessor: False
    SubPipelines:
      SealOCR:
        pipeline_name: OCR
        batch_size: 8
        text_type: seal
        use_doc_preprocessor: False
        use_textline_orientation: False
        SubModules:
          TextDetection:
            module_name: seal_text_detection
            model_name: PP-OCRv4_server_seal_det
            model_dir: null
            limit_side_len: 736
            limit_type: min
            max_side_limit: 4000
            thresh: 0.2
            box_thresh: 0.6
            unclip_ratio: 0.5
          TextRecognition:
            module_name: text_recognition
            model_name: PP-OCRv5_server_rec
            model_dir: null
            batch_size: 8
            score_thresh: 0
    
  FormulaRecognition:
    pipeline_name: formula_recognition
    batch_size: 8
    use_layout_detection: False
    use_doc_preprocessor: False
    SubModules:
      FormulaRecognition:
        module_name: formula_recognition
        model_name: PP-FormulaNet_plus-L
        model_dir: null
        batch_size: 8